White House AI Plan Backs Federal Rule Supremacy
A White House AI policy blueprint argues federal rules should override conflicting state AI laws, a consequential shift for deepfake regulation, disclosure standards, and digital authenticity vendors.
Subspace Steering Exposes Risks in Human-AI Behavior
A new paper introduces multi-trait subspace steering to manipulate several behavioral dimensions in AI systems at once, offering a technical lens on alignment failure, misuse, and synthetic media safety.
Name Swaps Expose Hidden Bias in LLM Judgments
A new paper shows that changing only names in prompts can flip LLM verdicts, revealing systematic bias through intervention consistency tests. The findings matter for AI moderation, authenticity review, and automated decision systems.
WASD Maps and Controls Behavior via Critical Neurons
A new paper introduces WASD, a method for finding neurons that are sufficient to explain and steer LLM behavior. The work adds technical insight into controllable generation and interpretable model editing.
Real-Time Trust Scoring for LLM Data Extraction
A new arXiv paper explores how to score the trustworthiness of structured LLM outputs in real time, aiming to make data extraction systems more auditable, calibrated, and safer to deploy.
Alethea Adds Reality Defender to Artemis Detection
Alethea has partnered with Reality Defender to bring deepfake detection into its Artemis platform, signaling stronger enterprise demand for integrated digital authenticity workflows.
Script-to-Slide Grounding Advances AI Video Creation
A new paper introduces script-to-slide grounding for automatic instructional video generation, linking script sentences to slide objects so systems can produce more structured, context-aware educational videos.
Codec-Aware Model Targets Speech Deepfake Detection
A new paper proposes quantizer-aware hierarchical neural codec modeling for speech deepfake detection, targeting artifacts introduced by modern neural audio codecs used in synthetic speech pipelines.
Benchmarking AI Text Detectors Under Attack
A new benchmark evaluates AI-generated text detectors across model families, domains, and adversarial rewrites, highlighting how fragile authenticity tools can be outside narrow test settings.
Neuron-Level Emotion Control for Audio LLM Speech
A new arXiv paper explores neuron-level steering of emotional expression in speech-generative large audio-language models, pointing to finer control in synthetic voice systems and new questions for authenticity and misuse.
Shutterstock Expands Licensed AI Training Content Library
Shutterstock broadens its licensed content offerings for AI model training, addressing the growing demand for legally cleared datasets in the synthetic media industry.
Corporate Defense Strategies Against Deepfake Fraud
As generative AI fraud escalates, enterprises must deploy multi-layered defenses combining detection technology, employee training, and authentication protocols to protect corporate identity.